248 search results - page 27 / 50 » Rate of Convergence for Constrained Stochastic Approximation... |
NIPS
2008
13 years 9 months ago
2008
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
INFOCOM
2007
IEEE
14 years 1 months ago
2007
IEEE
— This paper studies the tradeoff between energy consumption and application performance in wireless sensor networks by investigating the interaction between network lifetime max...
NIPS
2008
13 years 9 months ago
2008
Most algorithms for solving Markov decision processes rely on a discount factor, which ensures their convergence. It is generally assumed that using an artificially low discount f...
IAT
2006
IEEE
14 years 1 months ago
2006
IEEE
The Distributed Probabilistic Protocol (DPP) is a new, approximate algorithm for solving Distributed Constraint Satisfaction Problems (DCSPs) that exploits prior knowledge to impr...
MOC
2010
13 years 2 months ago
2010
We study H(div) preconditioning for the saddle-point systems that arise in a stochastic Galerkin mixed formulation of the steady-state diffusion problem with random data. The key i...